遺伝統計学によるゲノムデータ解析

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  • 岡田 随象
    大阪大学大学院医学系研究科遺伝統計学 大阪大学免疫学フロンティア研究センター免疫統計学

書誌事項

タイトル別名
  • Statistical Genetics and Genome Data Analysis
  • イデン トウケイガク ニ ヨル ゲノムデータ カイセキ

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説明

<p>Recent development of high throughput genome sequence technologies, such as next generation sequencer (NGS) and single nucleotide polymorphism (SNP) microarray, provides “flood” of human genome data. Large-scale human genetic studies incorporating more than 100,000 subjects have identified thousands of genetic variants with causal risk of human diseases. To handle such BIG data, sophisticated computational and statistical approaches are required. While construction of in silico pipelines to translate NGS raw reads to human genome variations is necessary, development of further strategies to interpret human genome data and understand disease biology elucidation and novel drug discovery is becoming more and more important. Statistical genetics is a research field that evaluates causality between human genetic and phenotypic variations, and considered as a promising tool to translationally connect human genome data with a variety of biological and medical resources. In this review, we highlight a basic theory, latest updates, and future directions of human genome data analysis with a series of introductory examples.</p>

収録刊行物

  • 生体医工学

    生体医工学 55 (4), 165-172, 2017

    公益社団法人 日本生体医工学会

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